Generative models evaluation metrics are not well established. Each metrics has advantages and disadvantages.
Several works on super resolution [1]} and image synthesis [2]} using the generative model employ
structural-similarity (SSIM) and peak signal to noise ratio (PSNR).
We evaluate the dense histogram distribution of SSIM and PSNR as shown in Figure REF  to measure the network overall performance.
The proposed work yields better SSIM distribution over the baseline work, while PSNR distribution has a slight improvement.
Average SSIM and PSNR are shown in Table REF .
<TABLE>